README.md

---
library_name: transformers
tags:
- bangla
- bangla-classifier
- binary-classifier
- text-classifier
datasets:
- SayedShaun/sentigold
language:
- bn
metrics:
- accuracy
base_model:
- csebuetnlp/banglabert
pipeline_tag: text-classification
---

# 🔍 Bangla Binary Text Classifier

## 🧠 Model Description

This is a **Bangla binary sentiment classification** model, fine-tuned on top of [`csebuetnlp/banglabert`](https://huggingface.co/csebuetnlp/banglabert). The model was trained using the [**SayedShaun/sentigold**](https://huggingface.co/datasets/SayedShaun/sentigold) dataset.

---

## 📦 How to Use

```python
from transformers import pipeline

pipe = pipeline("text-classification", model="SayedShaun/bangla-classifier-binary")

response = pipe("এটা যে এত খারাপ আগে জানতাম না।")
print(response)
>>> [{'label': 'LABEL_0', 'score': 0.9765}]
```

## Result
| Training Loss | Validation Loss | Accuracy  | Precision | Recall   | F1 Score  |
|---------------|-----------------|-----------|-----------|----------|-----------|
| 0.354600      | 0.396599        | 0.825143  | 0.812587  | 0.842483 | 0.827265  |


# Source Code
Source code can be found in `files and versions` as `finetune.py`